Triple
T15267011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria Talbott |
E364925
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gloria Talbott |
E364925
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gloria Talbott | Statement: [Gloria Talbott, name, Gloria Talbott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Talbott Context triple: [Gloria Talbott, name, Gloria Talbott]
-
A.
Gloria Talbott
chosen
Gloria Talbott was an American film and television actress known for her roles in 1950s melodramas and science fiction films.
-
B.
Gloria Gould
Gloria Gould was an American socialite and heiress of the prominent Gould family, known for her role in early 20th-century high society.
-
C.
Gloria Loomis
Gloria Loomis is a literary agent and the wife of the late American screenwriter Walter Bernstein.
-
D.
Gloria Mills Chapman
Gloria Mills Chapman is the daughter of contemporary Christian and pop singer-songwriter Amy Grant.
-
E.
Gloria Connors
Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9976bc888190a050c2502d1f8e81 |
completed | May 9, 2026, 8:30 p.m. |
Created at: April 10, 2026, 3:14 a.m.